Machine Learning Engineer: Multimodal Sensor Fusion
Tasks
- Architect model efficiency strategies
- Collaborate with hardware software and user experience teams
- Design multimodal sensor fusion algorithms
- Develop best practices and technical direction
- Ensure algorithm performance in production
- Evaluate research and translate to production
- Implement multimodal deep learning models
- Optimize models for edge deployment
Perks/Benefits
- N/A
Skills/Tech-stack
Deep learning | Edge Computing | Linear Algebra | Machine Learning | Model Efficiency | Model Optimization | Multimodal Sensor Fusion | Optimization | PyTorch | Python | Real Time | Real-time Processing | Sensor fusion | Time processing
Education
Regions
Countries
States
Cities
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